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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 135
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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results. You have the option to override it to use either hybrid or semantic search in the API. billion, $6.1 billion, and $5.9 billion, $6.1

APIs 124
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Vision use cases with Llama 3.2 11B and 90B models from Meta

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, like Meta, through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Configure Llama 3.2 b64encode(image_bytes).decode('utf-8')

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Digital Trends and Technologies Transforming CX in Banking and Finance

Tenfold - Contact Center Blog

The taste of this new class of customers clashes with the traditional mode of service that dominates the finance sector. They have no attachment to legacy systems that banks and finance companies have been holding onto for years, despite the wave of new technologies in business and communications. It’s actually self-service.

Finance 64
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Enhance customer service efficiency with AI-powered summarization using Amazon Transcribe Call Analytics

AWS Machine Learning

Transcribe Call Analytics is a generative AI-powered API for generating highly accurate call transcripts and extracting conversation insights to improve customer experience, agent productivity, and supervisor productivity. Simply turn the feature on from the Amazon Transcribe console or using the start_call_analytics_job API.

Analytics 115
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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. Based on our hyperparameter tuning experiments across different use cases, the API allows a range of 4–256, with a default of 32. We focus on the task of answering questions about the table.

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Automate derivative confirms processing using AWS AI services for the capital markets industry

AWS Machine Learning

The function invokes the Amazon Textract API and performs a fuzzy match using the document schema mappings stored in Amazon DynamoDB. An event on message receipt invokes a Lambda function that in turn invokes the Amazon Textract StartDocumentAnalysis API for information extraction.

Marketing 106